GenAI Engineer

We are looking for a Generative AI Engineer who can design, develop, and implement advanced AI models and solutions that leverage large language models (LLMs), diffusion models, and multimodal AI systems. The ideal candidate should have a strong background in machine learning, deep learning, and prompt engineering, along with hands-on experience in deploying GenAI solutions at scale.

Key Responsibilities

• Develop and fine-tune generative models (e.g., GPT, LLaMA, Claude, Stable Diffusion) for text, image, audio, or video generation.
• Design and build end-to-end GenAI pipelines, from data collection and preprocessing to model training, evaluation, and deployment.
• Integrate LLMs and multimodal AI models into production systems using frameworks like LangChain, LlamaIndex, or OpenAI APIs.
• Conduct RAG (Retrieval-Augmented Generation) implementations for enterprise use cases.

Required Skills & Qualifications

• Bachelors or Masters degree in Computer Science, AI/ML, Data Science, or related field.
• 3+ years of experience in ML/DL engineering with at least 2+ years in Generative AI applications.
• Strong knowledge of Python and ML frameworks such as PyTorch or TensorFlow.
• Experience with LLMs (e.g., OpenAI, Anthropic, Mistral, LLaMA) and open-source libraries (LangChain, Hugging Face Transformers, etc.).
• Understanding of prompt engineering, embeddings, vector databases (e.g., FAISS, Pinecone, Weaviate, Milvus).
• Familiarity with cloud platforms (AWS, Azure, or GCP) and MLOps best practices.